Senior Robotics Research Scientist – Foundation Models

Amazon

San Francisco (CA)

On-site

USD 150,000 - 300,000

Full time

14 days+
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Job summary

Amazon’s Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff to drive foundational research and build intelligent robotic systems from the ground up. You’ll publish and deploy innovations into production at Amazon scale, focusing on hardware-aware foundation models and real-world robot deployment.

Join world‑class researchers to push the boundaries of robotics, balancing theoretical insights with hands-on hardware work, scale experiments across high‑DoF platforms, and

Qualifications

  • PhD, or Master’s degree in CS, CE, ML or related field with 4+ years of experience.
  • Experience programming languages such as C/C++, Python, Java or Perl.
  • Experience with hardware design, low‑level control, state estimation, system identification, or complex electrical systems.
  • Experience in patents or publications at top-tier conferences or journals.
  • Experience building ML models or algorithms for applied use in robotics.

Responsibilities

  • Drive independent research across the full robotics stack, including locomotion, manipulation, control, and foundation models for perception and manipulation.
  • Lead full-stack robotics projects from conception to hardware deployment with system-wide integration.
  • Develop and optimize control algorithms and sensing pipelines for physical robotic hardware.
  • Collaborate with hardware, mechanical, and electrical engineering teams to ensure seamless integration of learned models across the stack.
  • Contribute to technical strategy and hardware-aware robotics challenges, including hardware-in-the-loop validation.

Skills

C/C++
Python
Java
Perl
State estimation
System identification
Reinforcement learning
Robotics

Education

PhD or Master’s in CS/CE/ML or related field

Tools

PyTorch/JAX

Job description

Amazon’s Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff to drive foundational research and build intelligent robotic systems from the ground up. You’ll publish and deploy innovations into production at Amazon scale, focusing on hardware-aware foundation models and real-world robot deployment.

Join world‑class researchers to push the boundaries of robotics, balancing theoretical insights with hands-on hardware work, scale experiments across high‑DoF platforms, and

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